입원환자 본인부담액에 영향을 미치는 요인 (Factors Affecting Cost-Sharing Charges for Inpatients)

In order to strengthen assurance of National Health Insurance, co-payment should be reduced. This can happen with collaborative efforts of patients,medical institutes, and government altogether at the same time. This research applied Dutton(1986)'s medical service research model with high R-square,and analyzed 2008 Korea Health Panel Data (Beta Version 1), that was examined by Korea Institute for Health and Social Affairs and National Health Insurance, in order to figure out influential variables on co-payment.
In result of Multiple Linear Regression Analysis, R-square was 46.7%, the older the age, the patients who had surgery, the longer days of hospital treatment are, the higher gross income of a household is, the more hospitalized in upper grade general hospitals, and the more upper grade rooms and selecting a doctor are used. The results have statistical significance.
When conducting research applying medical service research model, there is a need to apply Dutton(1986)'s medical service research model with high R-square. In order to strengthen assurance of National Health Insurance, first conditions should be that patients are hospitalized in upper grade general hospital, and at the same time, are patients who had surgery with long stay of hospitalization. In addition, if proven that patients used upper grade rooms and selecting a doctor due to lack of regular treatment and rooms, for certain number of days of such hospitalization, it is suggested to be provided with health care insurance in upper grade rooms and selecting a doctor in calculating co-payment limit.

In order to strengthen assurance of National Health Insurance, co-payment should be reduced. This can happen with collaborative efforts of patients,medical institutes, and government altogether at the same time. This research applied Dutton(1986)'s medical service research model with high R-square,and analyzed 2008 Korea Health Panel Data (Beta Version 1), that was examined by Korea Institute for Health and Social Affairs and National Health Insurance, in order to figure out influential variables on co-payment.
In result of Multiple Linear Regression Analysis, R-square was 46.7%, the older the age, the patients who had surgery, the longer days of hospital treatment are, the higher gross income of a household is, the more hospitalized in upper grade general hospitals, and the more upper grade rooms and selecting a doctor are used. The results have statistical significance.
When conducting research applying medical service research model, there is a need to apply Dutton(1986)'s medical service research model with high R-square. In order to strengthen assurance of National Health Insurance, first conditions should be that patients are hospitalized in upper grade general hospital, and at the same time, are patients who had surgery with long stay of hospitalization. In addition, if proven that patients used upper grade rooms and selecting a doctor due to lack of regular treatment and rooms, for certain number of days of such hospitalization, it is suggested to be provided with health care insurance in upper grade rooms and selecting a doctor in calculating co-payment limit.